source('common.R')
##
## Attaching package: 'lubridate'
## The following object is masked from 'package:base':
##
## date
## Loading required package: lattice
predict_col <- 'price_doc'
load('model3_overall_data_fe.Rdata')
# transform predictions
just_col(overall_data_fe, predict_col) <- log1p(just_col(overall_data_fe, predict_col))
Consider playing around with Y-Aware PCA again, this time without the is-na columns. Or not.
pipeline <- c(yaware_pca=function(train_data) {
isna_cols <- grep('_isna$', names(train_data), value=TRUE)
pca_fn <- yaware_pca_factory(sans_cols(train_data, isna_cols), 0.999)
function(data) {
isna_data <- just_cols(data, isna_cols)
print(dim(isna_data))
retval <- pca_fn(sans_cols(data, isna_cols))
return(list(retval=retval, isna_data=isna_data))
print(class(retval))
print(names(retval))
print(dim(retval))
retval <- cbind(retval, isna_data)
return (retval)
}
})
skipcols <- c('id', 'disposition')
# Don't do this unless playing around.
if (FALSE) {
overall_data_pca <- transform_data(pipeline,
subset(overall_data_fe, disposition=='train'),
subset(overall_data_fe, disposition!='skip'),
verbose=TRUE
)[[2]]
}
Load the maro data and make some “smoothed” columns by exponential filtering (simplest smoother without foreknowledge).
set.seed(20170630)
load('macro_preproc2.Rdata')
just_buyer <- subset(overall_data_fe, product_type == 'OwnerOccupier')
just_buyer_nonmacro <- sans_cols(just_buyer, names(macro_preproc2))
ctrl <- caret::trainControl(method='repeatedcv',
number=5,
allowParallel=TRUE)
grid <- expand.grid(
nrounds=750,
eta=c(0.03),
gamma=1,
max_depth=c(8),
subsample=c(0.7),
colsample_bytree=c(0.6),
min_child_weight=1
)
skipcols <- c('id', 'disposition')
x_static <- model.matrix(~., data=sans_cols(just_disposition(just_buyer_nonmacro, 'train'), c(predict_col, skipcols)))
y_static <- just_col(just_disposition(just_buyer_nonmacro, 'train'), predict_col)
y_date_id <- just_cols(just_disposition(just_buyer, 'train'), c(predict_col, 'id', 'timestamp'))
xgb_model_static <- caret::train(
x=x_static,
y=y_static,
method='xgbTree',
metric="RMSE",
trControl=ctrl,
tuneGrid=grid)
## Loading required package: xgboost
## Loading required package: plyr
##
## Attaching package: 'plyr'
## The following object is masked from 'package:lubridate':
##
## here
y_pred <- predict(xgb_model_static, x_static)
y_date_id$y_error <- y_pred - y_static
save(x_static, y_static, xgb_model_static, y_date_id, file='Lag_Smooth_static.Rdata')
library(pracma)
##
## Attaching package: 'pracma'
## The following object is masked from 'package:car':
##
## logit
# function to smooth an input column and lag it various amounts.
sl <- function(macro_data, colname, s=30, l=0:3, date_colname='timestamp')
{
stopifnot(all(order(just_col(macro_data, date_colname)) == 1:nrow(macro_data)))
retval <- data.frame(just_cols(macro_data, date_colname))
names(retval) <- date_colname
for (si in s) {
if (si > 1) {
ma <- pracma::movavg(just_col(macro_data, colname), si, 's')
} else {
ma <- just_col(macro_data, colname)
}
ma_l <- length(ma)
for (li in l) {
new_colname <- sprintf('%s_s%d_l%d', colname, si, li)
just_col(retval, new_colname) <- c(rep(ma[1], li), ma[1:(ma_l-li)])
}
}
return (retval)
}
make_cors <- function(sl_data)
{
sl_cols <- str_match(names(sl_data), '^(.*)_s([0-9]+)_l([0-9]+)$')
sl_cols <- sl_cols[!is.na(sl_cols[,1]),]
retval <- data.frame(
colname=as.character(sl_cols[,2]),
smooth=as.numeric(sl_cols[,3]),
lag=as.numeric(sl_cols[,4]),
m=as.vector(sapply(
just_cols(sl_data, as.character(sl_cols[,1])),
function(x) {
cor(sl_data$y_error, x-mean(x))
}
)))
return (retval)
}
smooths <- c(0,30,60,90,180,360)
lags <- 0:800
# Examine a handful of indicators.
x_oil_urals <- merge(y_date_id, sl(macro_preproc2, 'oil_urals', s=smooths, l=lags), by='timestamp')
cor_oil_urals <- make_cors(x_oil_urals)
ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cor_oil_urals, smooth/2+lag < 720))+geom_line()+xlab('Lag (days)')+ylab('Correlation')+ggtitle('Correlation of oil_urals for various smooths, lags')
x_rts <- merge(y_date_id, sl(macro_preproc2, 'rts', s=smooths, l=lags), by='timestamp')
cor_rts <- make_cors(x_rts)
ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cor_rts, smooth/2+lag < 720))+geom_line()+xlab('Lag (days)')+ylab('Correlation')+ggtitle('Correlation of rts for various smooths, lags')
x_micex <- merge(y_date_id, sl(macro_preproc2, 'micex', s=smooths, l=lags), by='timestamp')
cor_micex <- make_cors(x_micex)
ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cor_micex, smooth/2+lag < 720))+geom_line()+xlab('Lag (days)')+ylab('Correlation')+ggtitle('Correlation of micex for various smooths, lags')
x_rent_price_2room_eco <- merge(y_date_id, sl(macro_preproc2, 'rent_price_2room_eco', s=smooths, l=lags), by='timestamp')
cor_rent_price_2room_eco <- make_cors(x_rent_price_2room_eco)
ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cor_rent_price_2room_eco, smooth/2+lag < 720))+geom_line()+xlab('Lag (days)')+ylab('Correlation')+ggtitle('Correlation of rent_price_2room_eco for various smooths, lags')
x_rent_price_2room_bus <- merge(y_date_id, sl(macro_preproc2, 'rent_price_2room_bus', s=smooths, l=lags), by='timestamp')
cor_rent_price_2room_bus <- make_cors(x_rent_price_2room_bus)
ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cor_rent_price_2room_bus, smooth/2+lag < 720))+geom_line()+xlab('Lag (days)')+ylab('Correlation')+ggtitle('Correlation of rent_price_2room_bus for various smooths, lags')
x_salary <- merge(y_date_id, sl(macro_preproc2, 'salary', s=smooths, l=lags), by='timestamp')
cor_salary <- make_cors(x_salary)
ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cor_salary, smooth/2+lag < 720))+geom_line()+xlab('Lag (days)')+ylab('Correlation')+ggtitle('Correlation of salary for various smooths, lags')
plot(x_rent_price_2room_eco$rent_price_2room_eco_s0_l0)
plot(x_rent_price_2room_eco$rent_price_2room_eco_s180_l400)
plot(x_rent_price_2room_eco$price_doc)
qplot(y_pred, y_error, data=y_date_id, alpha=I(0.1))
qplot(rent_price_2room_eco_s0_l0, y_error, data=x_rent_price_2room_eco)
qplot(rent_price_2room_eco_s180_l0, y_error, data=x_rent_price_2room_eco)
make_all_cors_from_data <- function(y_date_id, macro_data, smooths, lags, merge_col='timestamp')
{
retval <- NULL
for (col in names(macro_data)) {
if (is.numeric(just_col(macro_data, col))) {
x <- merge(y_date_id, sl(macro_data, colname=col, s=smooths, l=lags), by=merge_col)
retval <- rbind(retval, make_cors(x))
}
}
return (retval)
}
all_cors <- make_all_cors_from_data(y_date_id, macro_preproc2, smooths, lags)
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
## Warning in cor(sl_data$y_error, x - mean(x)): the standard deviation is
## zero
make_plots_from_cors <- function(cors)
{
colnames <- levels(cors$colname)
for (col in colnames) {
p <- ggplot(aes(x=lag, y=m, color=factor(smooth)), data=subset(cors, colname==col & smooth/2+lag <720))+geom_line()+ggtitle(sprintf('y_error correlations of %s for smooths at lags', col))+ylab('correlation')+xlab('lag (days)')
print(p)
}
}
make_plots_from_cors(all_cors)
## Warning: Removed 395 rows containing missing values (geom_path).
## Warning: Removed 395 rows containing missing values (geom_path).
Look for the best correlations. Exclude smoothing less than 30 days as more likely to be noise than signal.
all_cors_sorted <- all_cors[order(abs(all_cors$m),decreasing=TRUE),]
best_per_colname <- all_cors_sorted[sapply(levels(all_cors_sorted$colname), function(col) { i <- min(which(with(all_cors_sorted, colname==col & smooth >= 30 & smooth/2+lag < 360)))}),]
sl_from_df <- function(macro_data, df, date_colname='timestamp')
{
stopifnot(all(order(just_col(macro_data, date_colname)) == 1:nrow(macro_data)))
retval <- data.frame(just_cols(macro_data, date_colname))
names(retval) <- date_colname
colnames <- as.character(just_col(df, 'colname'))
smooths <- just_col(df, 'smooth')
lags <- just_col(df, 'lag')
for (i in 1:nrow(df)) {
colname <- colnames[i]
si <- smooths[i]
li <- lags[i]
if (si > 1) {
ma <- pracma::movavg(just_col(macro_data, colname), si, 's')
} else {
ma <- just_col(macro_data, colname)
}
ma_l <- length(ma)
new_colname <- sprintf('%s_s%d_l%d', colname, si, li)
just_col(retval, new_colname) <- c(rep(ma[1], li), ma[1:(ma_l-li)])
}
return (retval)
}
macro_best_sl <- merge(y_date_id, sl_from_df(macro_preproc2, best_per_colname), by='timestamp')
save(macro_best_sl, y_date_id, y_pred, file='Lag_Smooth_macro_best_sl.Rdata')
data_dynamic <- sans_cols(macro_best_sl, c(predict_col, 'id'))
m_dynamic <- lm(y_error ~ ., data=data_dynamic)
print(summary(m_dynamic))
##
## Call:
## lm(formula = y_error ~ ., data = data_dynamic)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.87706 -0.05985 0.00750 0.06191 0.89048
##
## Coefficients: (20 not defined because of singularities)
## Estimate Std. Error
## (Intercept) -4.446e+13 6.491e+13
## timestamp -4.267e-07 3.056e-07
## oil_urals_s30_l0 1.392e-02 2.043e-02
## gdp_quart_s180_l8 2.722e-04 2.672e-04
## gdp_quart_growth_s360_l58 1.398e+00 1.100e+00
## cpi_s30_l266 -7.903e-02 4.537e-02
## ppi_s180_l77 -4.940e-02 3.896e-02
## gdp_deflator_s180_l247 -4.673e+00 3.083e+00
## balance_trade_s360_l115 1.623e-01 3.289e-01
## balance_trade_growth_s360_l0 -1.490e-01 1.551e-01
## usdrub_s180_l191 -2.127e-01 2.251e-01
## eurrub_s360_l0 2.431e-01 1.990e-01
## brent_s30_l0 5.189e-03 1.130e-02
## net_capital_export_s360_l120 -1.507e-01 4.238e+00
## gdp_annual_s180_l247 5.633e-03 3.480e-03
## gdp_annual_growth_s90_l0 8.218e+12 4.738e+13
## average_provision_of_build_contract_s360_l179 -1.300e+01 1.379e+01
## average_provision_of_build_contract_moscow_s360_l0 -3.515e+00 4.694e+00
## rts_s180_l188 -3.239e-03 3.806e-03
## micex_s180_l0 -5.560e-03 3.779e-03
## micex_rgbi_tr_s60_l0 -1.341e-02 3.092e-02
## micex_cbi_tr_s30_l342 -1.805e-03 9.938e-03
## deposits_value_s360_l0 5.550e-06 4.477e-06
## deposits_growth_s180_l150 2.337e+01 2.038e+01
## deposits_rate_s30_l273 1.975e-01 4.597e-01
## mortgage_growth_s360_l179 -7.640e+00 1.200e+01
## mortgage_rate_s180_l132 1.023e+00 1.546e+00
## grp_s180_l269 -1.830e+09 1.912e+09
## grp_growth_s180_l40 -3.562e+01 2.820e+02
## income_per_cap_s360_l179 8.493e-05 7.731e-05
## real_dispos_income_per_cap_growth_s360_l0 -1.135e+00 8.013e+01
## salary_s180_l269 3.341e+08 3.274e+08
## salary_growth_s90_l0 -9.988e+12 3.533e+13
## fixed_basket_s30_l284 -4.915e-04 4.751e-04
## retail_trade_turnover_s180_l269 NA NA
## retail_trade_turnover_per_cap_s180_l269 NA NA
## retail_trade_turnover_growth_s30_l0 3.643e-01 3.940e-01
## labor_force_s360_l7 7.400e-02 6.232e-02
## unemployment_s360_l179 2.862e+02 3.472e+02
## employment_s360_l0 2.278e+02 5.830e+02
## invest_fixed_capital_per_cap_s180_l260 3.076e-03 2.598e-03
## invest_fixed_assets_s180_l260 -2.360e-01 1.993e-01
## profitable_enterpr_share_s180_l269 NA NA
## unprofitable_enterpr_share_s180_l269 NA NA
## share_own_revenues_s360_l105 1.167e+03 1.677e+03
## overdue_wages_per_cap_s180_l41 4.353e-05 2.192e-04
## fin_res_per_cap_s180_l269 NA NA
## marriages_per_1000_cap_s180_l269 NA NA
## divorce_rate_s180_l35 -1.542e+00 1.978e+01
## construction_value_s180_l269 NA NA
## invest_fixed_assets_phys_s360_l105 1.218e+00 1.788e+00
## pop_natural_increase_s360_l179 -2.147e+01 1.620e+01
## pop_migration_s360_l26 -5.520e+00 7.442e+00
## pop_total_inc_s360_l21 2.960e+00 6.447e+00
## childbirth_s30_l0 3.103e+01 3.321e+01
## mortality_s90_l0 NA NA
## housing_fund_sqm_s180_l245 2.137e+00 5.078e+00
## lodging_sqm_per_cap_s180_l269 NA NA
## sewerage_share_s360_l27 -1.604e+02 2.139e+02
## gas_share_s180_l247 NA NA
## electric_stove_share_s180_l269 1.060e+12 1.243e+12
## average_life_exp_s180_l247 NA NA
## infant_mortarity_per_1000_cap_s180_l269 NA NA
## perinatal_mort_per_1000_cap_s180_l269 NA NA
## incidence_population_s180_l269 4.037e+10 5.818e+10
## rent_price_4.room_bus_s180_l125 -2.031e-02 1.086e-02
## rent_price_3room_bus_s180_l0 1.197e-01 6.574e-02
## rent_price_2room_bus_s360_l179 1.293e-01 1.719e-01
## rent_price_1room_bus_s180_l98 2.816e-02 6.831e-02
## rent_price_3room_eco_s360_l179 3.221e-01 5.180e-01
## rent_price_2room_eco_s360_l62 -1.754e+00 1.356e+00
## rent_price_1room_eco_s360_l123 -4.403e+00 2.104e+00
## load_of_teachers_preschool_per_teacher_s360_l149 -2.704e-01 6.071e-01
## child_on_acc_pre_school_s360_l6 -5.600e-04 7.123e-04
## load_of_teachers_school_per_teacher_s90_l0 NA NA
## students_state_oneshift_s360_l20 -4.870e-01 1.289e+00
## provision_doctors_s360_l44 -7.855e-03 4.180e-01
## provision_nurse_s90_l0 NA NA
## load_on_doctors_s90_l0 -3.009e+08 1.894e+09
## power_clinics_s180_l269 NA NA
## hospital_beds_available_per_cap_s180_l269 NA NA
## hospital_bed_occupancy_per_year_s180_l269 -6.940e+09 1.660e+11
## turnover_catering_per_cap_s180_l269 NA NA
## theaters_viewers_per_1000_cap_s360_l156 2.674e-01 3.758e-01
## seats_theather_rfmin_per_100000_cap_s90_l0 NA NA
## museum_visitis_per_100_cap_s360_l158 9.676e-01 1.594e+00
## bandwidth_sports_s180_l269 NA NA
## population_reg_sports_share_s180_l244 -1.257e+00 1.989e+00
## students_reg_sports_share_s360_l158 -1.584e+01 2.461e+01
## apartment_build_s360_l168 5.787e-04 6.087e-04
## apartment_fund_sqm_s90_l0 -1.418e+08 1.878e+08
## mortgage_value_s360_l59 -8.659e-03 1.648e-02
## mortgage_value_montonic_s30_l70 -5.673e-04 1.451e-02
## t value Pr(>|t|)
## (Intercept) -0.685 0.4935
## timestamp -1.396 0.1628
## oil_urals_s30_l0 0.681 0.4956
## gdp_quart_s180_l8 1.018 0.3086
## gdp_quart_growth_s360_l58 1.272 0.2036
## cpi_s30_l266 -1.742 0.0817 .
## ppi_s180_l77 -1.268 0.2049
## gdp_deflator_s180_l247 -1.516 0.1297
## balance_trade_s360_l115 0.493 0.6218
## balance_trade_growth_s360_l0 -0.961 0.3366
## usdrub_s180_l191 -0.945 0.3448
## eurrub_s360_l0 1.222 0.2220
## brent_s30_l0 0.459 0.6462
## net_capital_export_s360_l120 -0.036 0.9716
## gdp_annual_s180_l247 1.619 0.1057
## gdp_annual_growth_s90_l0 0.173 0.8623
## average_provision_of_build_contract_s360_l179 -0.942 0.3461
## average_provision_of_build_contract_moscow_s360_l0 -0.749 0.4540
## rts_s180_l188 -0.851 0.3948
## micex_s180_l0 -1.471 0.1413
## micex_rgbi_tr_s60_l0 -0.434 0.6645
## micex_cbi_tr_s30_l342 -0.182 0.8559
## deposits_value_s360_l0 1.240 0.2152
## deposits_growth_s180_l150 1.147 0.2514
## deposits_rate_s30_l273 0.430 0.6675
## mortgage_growth_s360_l179 -0.637 0.5243
## mortgage_rate_s180_l132 0.662 0.5081
## grp_s180_l269 -0.957 0.3387
## grp_growth_s180_l40 -0.126 0.8995
## income_per_cap_s360_l179 1.099 0.2721
## real_dispos_income_per_cap_growth_s360_l0 -0.014 0.9887
## salary_s180_l269 1.021 0.3076
## salary_growth_s90_l0 -0.283 0.7774
## fixed_basket_s30_l284 -1.035 0.3010
## retail_trade_turnover_s180_l269 NA NA
## retail_trade_turnover_per_cap_s180_l269 NA NA
## retail_trade_turnover_growth_s30_l0 0.925 0.3552
## labor_force_s360_l7 1.187 0.2352
## unemployment_s360_l179 0.824 0.4099
## employment_s360_l0 0.391 0.6960
## invest_fixed_capital_per_cap_s180_l260 1.184 0.2365
## invest_fixed_assets_s180_l260 -1.185 0.2363
## profitable_enterpr_share_s180_l269 NA NA
## unprofitable_enterpr_share_s180_l269 NA NA
## share_own_revenues_s360_l105 0.696 0.4867
## overdue_wages_per_cap_s180_l41 0.199 0.8426
## fin_res_per_cap_s180_l269 NA NA
## marriages_per_1000_cap_s180_l269 NA NA
## divorce_rate_s180_l35 -0.078 0.9379
## construction_value_s180_l269 NA NA
## invest_fixed_assets_phys_s360_l105 0.681 0.4957
## pop_natural_increase_s360_l179 -1.325 0.1853
## pop_migration_s360_l26 -0.742 0.4583
## pop_total_inc_s360_l21 0.459 0.6462
## childbirth_s30_l0 0.934 0.3503
## mortality_s90_l0 NA NA
## housing_fund_sqm_s180_l245 0.421 0.6739
## lodging_sqm_per_cap_s180_l269 NA NA
## sewerage_share_s360_l27 -0.750 0.4535
## gas_share_s180_l247 NA NA
## electric_stove_share_s180_l269 0.852 0.3942
## average_life_exp_s180_l247 NA NA
## infant_mortarity_per_1000_cap_s180_l269 NA NA
## perinatal_mort_per_1000_cap_s180_l269 NA NA
## incidence_population_s180_l269 0.694 0.4878
## rent_price_4.room_bus_s180_l125 -1.870 0.0616 .
## rent_price_3room_bus_s180_l0 1.821 0.0687 .
## rent_price_2room_bus_s360_l179 0.752 0.4523
## rent_price_1room_bus_s180_l98 0.412 0.6802
## rent_price_3room_eco_s360_l179 0.622 0.5341
## rent_price_2room_eco_s360_l62 -1.294 0.1958
## rent_price_1room_eco_s360_l123 -2.092 0.0365 *
## load_of_teachers_preschool_per_teacher_s360_l149 -0.445 0.6561
## child_on_acc_pre_school_s360_l6 -0.786 0.4319
## load_of_teachers_school_per_teacher_s90_l0 NA NA
## students_state_oneshift_s360_l20 -0.378 0.7057
## provision_doctors_s360_l44 -0.019 0.9850
## provision_nurse_s90_l0 NA NA
## load_on_doctors_s90_l0 -0.159 0.8738
## power_clinics_s180_l269 NA NA
## hospital_beds_available_per_cap_s180_l269 NA NA
## hospital_bed_occupancy_per_year_s180_l269 -0.042 0.9667
## turnover_catering_per_cap_s180_l269 NA NA
## theaters_viewers_per_1000_cap_s360_l156 0.712 0.4767
## seats_theather_rfmin_per_100000_cap_s90_l0 NA NA
## museum_visitis_per_100_cap_s360_l158 0.607 0.5438
## bandwidth_sports_s180_l269 NA NA
## population_reg_sports_share_s180_l244 -0.632 0.5275
## students_reg_sports_share_s360_l158 -0.644 0.5198
## apartment_build_s360_l168 0.951 0.3419
## apartment_fund_sqm_s90_l0 -0.755 0.4502
## mortgage_value_s360_l59 -0.525 0.5993
## mortgage_value_montonic_s30_l70 -0.039 0.9688
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1068 on 2285 degrees of freedom
## Multiple R-squared: 0.1735, Adjusted R-squared: 0.1475
## F-statistic: 6.664 on 72 and 2285 DF, p-value: < 2.2e-16
cf <- summary(m_dynamic)$coefficients
data_dynamic2 <- just_cols(data_dynamic, c('y_error', setdiff(row.names(cf[cf[,4]<0.10,]), '(Intercept)')))
m_dynamic2 <- lm(y_error ~ ., data=data_dynamic2)
print(summary(m_dynamic2))
##
## Call:
## lm(formula = y_error ~ ., data = data_dynamic2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.90921 -0.05963 0.00667 0.06180 0.98073
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.4061733 0.4511615 7.550 6.20e-14 ***
## cpi_s30_l266 -0.0012536 0.0007287 -1.720 0.0855 .
## rent_price_4.room_bus_s180_l125 -0.0005253 0.0008553 -0.614 0.5392
## rent_price_3room_bus_s180_l0 0.0037578 0.0016205 2.319 0.0205 *
## rent_price_1room_eco_s360_l123 -0.0959071 0.0195158 -4.914 9.52e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1073 on 2353 degrees of freedom
## Multiple R-squared: 0.1399, Adjusted R-squared: 0.1384
## F-statistic: 95.69 on 4 and 2353 DF, p-value: < 2.2e-16
cf2 <- summary(m_dynamic2)$coefficients
data_dynamic3 <- just_cols(data_dynamic2, c('y_error', setdiff(row.names(cf2[cf2[,4]<0.10,]), '(Intercept)')))
m_dynamic3 <- lm(y_error ~ ., data=data_dynamic3)
print(summary(m_dynamic3))
##
## Call:
## lm(formula = y_error ~ ., data = data_dynamic3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.90864 -0.05980 0.00673 0.06211 0.98584
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.4364238 0.4484053 7.664 2.62e-14 ***
## cpi_s30_l266 -0.0015256 0.0005785 -2.637 0.00842 **
## rent_price_3room_bus_s180_l0 0.0031893 0.0013300 2.398 0.01656 *
## rent_price_1room_eco_s360_l123 -0.0944205 0.0193625 -4.876 1.15e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1073 on 2354 degrees of freedom
## Multiple R-squared: 0.1398, Adjusted R-squared: 0.1387
## F-statistic: 127.5 on 3 and 2354 DF, p-value: < 2.2e-16
y_error_pred_lm <- predict(m_dynamic3, data=data_dynamic3)
y_date_id$y_best_est_lm <- y_pred - y_error_pred_lm
save(data_dynamic, data_dynamic2, data_dynamic3, m_dynamic, m_dynamic2, m_dynamic3, y_date_id, file='Lag_Smooth_dynamic_lm.Rdata')
x_dynamic <- model.matrix(~., data=sans_cols(macro_best_sl, c(predict_col, 'y_error', 'id')))
y_dynamic <- just_col(macro_best_sl, 'y_error')
xgb_model_dynamic <- caret::train(
x=x_dynamic,
y=y_dynamic,
method='xgbTree',
metric="RMSE",
trControl=ctrl,
tuneGrid=grid)
y_error_pred <- predict(xgb_model_dynamic, x_dynamic)
y_date_id$y_best_est_xgb <- y_pred - y_error_pred
qplot(y_error_pred,y_date_id$y_error, alpha=I(0.1))
save(x_dynamic, y_dynamic, xgb_model_dynamic, y_date_id, file='Lag_Smooth_dynamic_xgb.Rdata')
fi <- xgb.importance(feature_names=colnames(x_dynamic), model=xgb_model_dynamic$finalModel)
fi <- fi[!is.na(fi$Feature),]
fi_nrow <- nrow(fi)
print(fi[1:min(fi_nrow,50),])
## Feature Gain
## 1: timestamp 0.23807331
## 2: micex_cbi_tr_s30_l342 0.13810162
## 3: mortgage_growth_s360_l179 0.13745633
## 4: deposits_growth_s180_l150 0.11797396
## 5: gdp_quart_s180_l8 0.08340974
## 6: rent_price_4.room_bus_s180_l125 0.05978768
## 7: micex_rgbi_tr_s60_l0 0.05677410
## 8: average_provision_of_build_contract_moscow_s360_l0 0.04774835
## 9: gdp_quart_growth_s360_l58 0.04015479
## 10: labor_force_s360_l7 0.02736752
## 11: rent_price_3room_bus_s180_l0 0.02662248
## 12: rent_price_1room_bus_s180_l98 0.02653011
## Cover Frequence
## 1: 0.20814394 0.20689655
## 2: 0.10330743 0.10344828
## 3: 0.13843447 0.13793103
## 4: 0.13765945 0.13793103
## 5: 0.10253241 0.10344828
## 6: 0.06908108 0.06896552
## 7: 0.06838985 0.06896552
## 8: 0.03443581 0.03448276
## 9: 0.03475001 0.03448276
## 10: 0.03447770 0.03448276
## 11: 0.03504325 0.03448276
## 12: 0.03374458 0.03448276
xgb.plot.importance(fi[1:min(fi_nrow,20),])